About ** percent of real estate firms used artificial intelligence, according to a 2023 survey among 750 CFOs at major companies worldwide. Approximately ** percent of respondents shared that their firm was in early-stage adoption, while ** percent were piloting the technology. Meanwhile, about ***** percent of industry experts were not interested.

Check Market Research Intellect's Artificial Intelligence (AI) In Real Estate Market Report, pegged at USD 2.5 billion in 2024 and projected to reach USD 10.2 billion by 2033, advancing with a CAGR of 22.5% (2026–2033).Explore factors such as rising applications, technological shifts, and industry leaders.

The Property Intelligence Platform (PIP) market is experiencing robust growth, driven by the increasing need for data-driven decision-making in the real estate sector. The market's expansion is fueled by several key factors, including the rising adoption of cloud-based solutions, advancements in big data analytics, and the growing demand for accurate property valuations and risk assessments. Technological innovations like AI and machine learning are enhancing the capabilities of PIPs, providing more sophisticated insights into property values, market trends, and investment opportunities. This translates into improved efficiency for real estate professionals, enabling faster deal closures, better risk management, and more informed investment strategies. The competitive landscape is dynamic, with established players like Yardi and CoreLogic alongside innovative startups constantly striving for market share. This competition fosters innovation and drives down costs, benefiting end-users across the real estate spectrum. We estimate the current market size to be approximately $5 billion in 2025, growing at a compound annual growth rate (CAGR) of 15% through 2033. This growth is expected across various segments including commercial real estate, residential real estate, and property management, with North America and Europe representing the largest market shares initially, followed by a steady expansion into Asia-Pacific and other emerging markets. The significant growth trajectory of the PIP market is further reinforced by the increasing complexity of real estate transactions and the need for comprehensive due diligence. Accurate and timely property information is critical for investors, lenders, and developers to mitigate risk and make sound investment choices. The integration of various data sources, including public records, satellite imagery, and market analytics, is empowering PIPs to deliver comprehensive, actionable intelligence. This holistic approach is transforming how real estate professionals operate, moving away from traditional, less efficient methods. The ongoing adoption of these platforms is expected to continue across different property types and geographical regions, further solidifying their role in the future of the real estate industry. The presence of numerous companies underscores a competitive and innovative environment, promising continuous improvements in platform capabilities and accessibility.

Introduction

The global AI in real estate market is experiencing remarkable growth, with projections indicating a substantial increase in value. By 2033, the market is anticipated to reach a staggering USD 41.5 billion, reflecting a notable compound annual growth rate (CAGR) of 30.5% during the forecast period from 2024 to 2033. This growth trajectory underscores the transformative impact of artificial intelligence (AI) on the real estate sector, revolutionizing various aspects of operations and decision-making processes.

The integration of Artificial Intelligence (AI) in real estate is transforming how the industry operates, from property management to sales. AI technologies enable more efficient data processing and interpretation, facilitating better decision-making. Key applications include automated valuation models, predictive analytics for market trends, and chatbots for customer service. This innovation leads to improved user experiences and operational efficiencies.

The AI in real estate market is experiencing significant growth. This expansion can be attributed to the increasing demand for smarter and more efficient real estate solutions, which AI provides. Real estate companies are investing in AI to enhance property search engines, implement smart home technologies, and improve transaction processes. These advancements are attracting both investors and companies looking to capitalize on the enhanced capabilities of AI to streamline operations and increase profitability.

Despite challenges such as data privacy concerns and the integration of AI with traditional systems, the momentum for AI adoption in real estate remains strong. AI has the potential to create significant value for the industry, ranging from cost reduction to operational improvement. According to surveys, AI could generate substantial value ranging from $110 billion to $180 billion and beyond, highlighting its transformative potential.

Property Intelligence Software Market Outlook

The global Property Intelligence Software market size is projected to reach USD 15.8 billion by 2032, up from USD 4.5 billion in 2023, exhibiting a robust CAGR of 14.5% during the forecast period. One of the primary growth factors driving this market is the increasing adoption of advanced analytics and AI technologies in the real estate sector, facilitating enhanced decision-making and operational efficiency.

The surge in urbanization and the expansion of smart cities are significant drivers of the Property Intelligence Software market. With rising urbanization, there is an increasing need for efficient property management solutions to handle the growing complexity of urban infrastructures. Advanced software solutions are critical in managing properties and real estate portfolios, offering detailed analytics, predictive maintenance, and asset optimization. As a result, both public and private sectors are increasingly investing in property intelligence solutions to ensure streamlined operations and data-driven decision-making.

The integration of AI and machine learning within property intelligence solutions is another pivotal growth factor. These technologies enable more accurate property valuations, predictive analytics for market trends, and enhanced customer relationship management. AI-powered software can analyze vast datasets to uncover hidden patterns and provide actionable insights, thereby helping real estate professionals make informed decisions. The rise of these advanced technologies is expected to propel market growth significantly over the forecast period.

Additionally, the increasing demand for better customer experiences and efficient property management is propelling the market further. Property managers and real estate agencies are leveraging these software solutions to provide clients with real-time updates, virtual tours, and personalized recommendations. The enhanced capabilities of property intelligence software, such as automated workflows, tenant management, and lease administration, are driving its adoption across various segments of the real estate industry, thereby contributing to market expansion.

Real Estate Investment and Portfolio Management Software Solution is becoming increasingly vital in today's dynamic real estate market. These solutions offer comprehensive tools that assist investors and property managers in optimizing their portfolios through data-driven insights and strategic planning. By integrating advanced analytics and AI capabilities, these software solutions enhance the ability to assess property performance, forecast market trends, and make informed investment decisions. As the real estate landscape becomes more complex, the demand for sophisticated portfolio management tools is expected to rise, providing a competitive edge to those who leverage these technologies effectively.

Regionally, North America is expected to dominate the Property Intelligence Software market due to the high adoption rate of advanced technologies and the presence of major market players. Europe and Asia Pacific are also anticipated to witness substantial growth, driven by increasing investments in smart city projects and the rapid urbanization in these regions. The growing focus on enhancing operational efficiencies and the adoption of AI-driven solutions in these regions are expected to fuel market growth.

Component Analysis

In the Property Intelligence Software market, the component segment is divided into Software and Services. Software forms the backbone of the industry, offering various functionalities such as data analytics, predictive modeling, and property management. Advanced software solutions are equipped with AI and machine learning capabilities, providing users with deep insights and enhancing decision-making processes. These solutions help in automating various tasks, from tenant management to maintenance scheduling, thereby improving operational efficiency and reducing costs.

Services constitute another significant component of this market and include consulting, implementation, training, and maintenance services. The demand for comprehensive services is rising as organizations seek specialized expertise to smoothly implement and optimize property intelligence solutions. Consulting services help firms identify the most suitable software for their needs, whereas implemen

The global property intelligence software market is experiencing robust growth, driven by increasing demand for data-driven decision-making in the real estate sector. The market, estimated at $5 billion in 2025, is projected to expand significantly over the next decade, fueled by several key factors. These include the rising adoption of cloud-based solutions, the need for enhanced property valuation and risk assessment tools, and the increasing complexity of real estate transactions. Furthermore, the growing availability of big data and advanced analytics capabilities is empowering stakeholders with sophisticated insights into market trends, property performance, and investment opportunities. This is leading to a significant shift towards more strategic and efficient property management and investment strategies. The competitive landscape is highly fragmented, with numerous players offering specialized solutions. Key players like Yardi, VTS, and CoreLogic are established market leaders, while smaller, specialized companies are also making significant inroads. The market is witnessing consolidation, with mergers and acquisitions becoming increasingly common, as companies seek to expand their product portfolios and enhance their market reach. The market's growth trajectory is influenced by several factors. Technological advancements, particularly in artificial intelligence (AI) and machine learning (ML), are enabling more accurate and efficient property analysis. This, combined with the increasing adoption of PropTech solutions across the real estate value chain, is further accelerating the market's expansion. However, challenges remain, including the high cost of implementing and maintaining these systems and the need for robust data security measures. Nevertheless, the long-term outlook for the property intelligence software market remains positive, with sustained growth expected over the forecast period (2025-2033), driven by the ongoing digital transformation of the real estate industry and the increasing demand for improved decision-making tools. Regional variations in market growth are expected, reflecting differences in technology adoption rates and market maturity across various geographies.

The Real Estate Technology Market report segments the industry into By Deployment (On-premise, Cloud), By Solution (Documentation, Accounting, Compliance, Business Intelligence, Enterprise Resource Planning, Customer Relationship Management, Asset Management, Other Solutions), By End User (Residential, Commercial), and By Geography (North America, Europe, Asia-Pacific, Latin America, Middle East and Africa).

BatchData provides comprehensive home ownership data for 87 million owners of residential homes in the US. We specialize in providing accurate contact information for owners of specific properties, trusted by some of the largest real estate companies for our superior capabilities in accurately unmasking owners of properties that may be hidden behind LLCs and corporate veils.

Our home ownership data is commonly used to fuel targeted marketing campaigns, generating real estate insights, powering websites/applications with real estate intelligence, and enriching sales and marketing databases with accurate homeowner contact information and surrounding intelligence to improve segmentation and targeting.

Home ownership data that is linked to a given property includes: - Homeowner Name(s) - Homeowner Cell Phone Number - Homeowner Email Address - Homeowner Mailing Address - Addresses of Properties Owned - Homeowner Portfolio Equity - Total Number of Properties Owned - Property Characteristics of Properties Owned - Homeowner sales, loan, and mortgage information - Property Occupancy Status of Properties Owned - Property Valuation & ARV information of Properties Owned - Ownership Length - Ownership History - Homeowner Age - Homeowner Marital Status - Homeowner Income - and more!

BatchService is both a data and technology company helping companies in and around the real estate ecosystem achieve faster growth. BatchService specializes in providing accurate B2B and B2C contact data for US property owners, including in-depth intelligence and actionable insights related to their property. Our portfolio of products, services, and go-to-market expertise help companies identify their target market, reach the right prospects, enrich their data, consolidate their data providers, and power their products and services.

The United States Real Estate Services Market Report is Segmented by Property Type (Residential, Commercial), by Service (Brokerage Services, Property Management Services, Valuation Services and More), by Client Type (Individuals/Households, Corporates & SMEs and More), and by States (Texas, California, Florida, New York, Illinois, Rest of US). The Market Forecasts are Provided in Terms of Value (USD).

The Property Intelligence Platform market is experiencing robust growth, driven by increasing demand for data-driven decision-making in the real estate sector. The market's expansion is fueled by several key factors: the rising adoption of cloud-based solutions offering scalability and accessibility; the increasing need for sophisticated analytics to optimize investment strategies amongst both SMEs and large enterprises; and the proliferation of readily available data sources enriching the insights generated by these platforms. Technological advancements, such as AI and machine learning integration, further enhance the market's capabilities, enabling predictive analytics and improved risk assessment. While the on-premises segment still holds a significant market share, the cloud-based segment is witnessing faster growth, driven by its flexibility and cost-effectiveness. Competition is fierce, with established players like Yardi and VTS vying for market share alongside numerous innovative startups offering specialized solutions. Geographic expansion continues, with North America currently dominating the market, followed by Europe and Asia-Pacific regions exhibiting promising growth potential. However, challenges such as data security concerns, high implementation costs, and the need for skilled professionals to effectively utilize these platforms can act as potential restraints to market expansion. Looking forward, the market is projected to maintain a strong growth trajectory, with a Compound Annual Growth Rate (CAGR) estimated at 15% between 2025 and 2033. This continued expansion will be driven by increased adoption in emerging markets, further technological innovation, and the ongoing integration of these platforms into core real estate business processes. The focus will increasingly shift towards providing more comprehensive and integrated solutions, encompassing not only property-level data but also market trends, economic indicators, and regulatory information. This evolution will lead to a more sophisticated and holistic approach to real estate investment and management, further solidifying the importance of property intelligence platforms in the industry. The competitive landscape is anticipated to become even more dynamic, with mergers and acquisitions likely to shape the market's consolidation.

Global Generative Artificial Intelligence (AI) In Real Estate market size is expected to reach $2.21 billion by 2029 at 30.1%, growing demand for new construction is driving the growth of the generative ai in real estate market.

Set Up We’ll help ensure you’re set up to get the data you need, how you need it. We’ll help you through provisioning the extraction, enrichment, formatting, delivery/update schedule, and reporting around your data. With hundreds of unique data points available, the information you need to find leads fast is at your fingertips - new homeowner data, home ownership data, B2C contact data and more, built for professional services companies.

Custom Development We provide technical resources to support integration and delivery requirements specific to your business needs, augmenting developer resources to keep your team focused on other tasks.

Enrichment Services Enrichment services improve the accuracy, completeness, and depth of your dataset by regularly filling in blank values, and updating outdated records. We’ll help ensure that the specific data points, update candances, and replacement rules fit your GTM strategy.

Analysis Healthcheck We’ll audit your organization’s data health and usage strategy, and make sure you’re focused on the right KPIs and performance metrics.

Implementation Support From technical architecture to scheduled and flexible delivery of data in multiple formats, we make it easy to realize the value of better data.

Data Blending & Enhancement Combine multiple data sources to create a single, new dataset to standardize operations and enable better reporting.

Global Artificial Intelligence in Real Estate is segmented by Application (Real estate industry, Technology industry, Finance industry, Construction industry, Urban planning), Type (Technology, Real estate, AI, Machine learning, Property technology) and Geography(North America, LATAM, West Europe, Central & Eastern Europe, Northern Europe, Southern Europe, East Asia, Southeast Asia, South Asia, Central Asia, Oceania, MEA)

Global Artificial Intelligence in Real Estate is segmented by Application (Real Estate Agents, Property Managers, Investors, Homeowners), Type (Property Valuation, Predictive Analytics, Customer Relationship Management (CRM), Property Management, Smart Homes) and Geography(North America, LATAM, West Europe, Central & Eastern Europe, Northern Europe, Southern Europe, East Asia, Southeast Asia, South Asia, Central Asia, Oceania, MEA)

The global Property Intelligence Platform market is anticipated to expand significantly in the coming years, driven by increasing demand for data-driven decision-making in the real estate industry. The market size, valued at USD 1.5 billion in 2025, is projected to reach USD 3.4 billion by 2033, registering a CAGR of 10.5% from 2025 to 2033. This growth is attributed to the rising adoption of cloud-based platforms, the proliferation of smart cities, and the increasing need for transparency and efficiency in real estate transactions. Key market drivers include the growing demand for real-time data and analytics to make informed investment decisions, the emergence of new technologies such as artificial intelligence (AI) and machine learning (ML), and the increasing adoption of digital twins to create virtual representations of physical assets. Moreover, the rising awareness of sustainability and the need for energy-efficient buildings are also contributing to the growth of the market. The market is segmented by deployment type (cloud-based and on-premises), application (SMEs and large enterprises), and geography (North America, Europe, Asia Pacific, Middle East & Africa, and South America). North America is the largest market, followed by Europe and Asia Pacific.

Real Estate Services Market Outlook

The global real estate services market size is projected to reach approximately USD 15.2 trillion by 2032, growing at a compound annual growth rate (CAGR) of 5.1% from USD 9.5 trillion in 2023. This growth is driven by several factors, including increasing urbanization, rising disposable incomes, and growing demand for both residential and commercial properties. The market is benefiting significantly from technological advancements that streamline property management and investment processes, making them more accessible and efficient for a wider range of end-users.

One of the primary growth factors for the real estate services market is the rapid urbanization occurring across the globe. As more people migrate to urban centers in search of better employment opportunities and enhanced quality of life, the demand for residential as well as commercial properties is increasing. This urban shift is not only limited to developed countries but is also highly pronounced in developing nations, where burgeoning middle-class populations are driving demand for modern housing and commercial spaces. Additionally, government initiatives focused on urban development and smart cities are further propelling the growth of the real estate services market.

Rising disposable incomes and changing lifestyle preferences are also contributing to the growth of the real estate services market. As individuals and families attain higher income levels, their purchasing power increases, enabling them to invest in more luxurious and better-located properties. This trend is especially evident in emerging economies, where economic growth is opening up new opportunities for property investment. Furthermore, the increased availability of mortgage options and favorable interest rates are making it easier for people to invest in both residential and commercial real estate, thus driving market expansion.

Technological advancements are another significant growth factor in the real estate services market. The integration of advanced technologies such as artificial intelligence, big data analytics, and blockchain in real estate transactions and property management is revolutionizing the industry. These technologies are enhancing the efficiency, transparency, and accessibility of real estate services. For instance, virtual tours and augmented reality are becoming popular tools for property viewing, making it easier for buyers and investors to make informed decisions. Additionally, online platforms are simplifying the property search and transaction process, thereby expanding the market's reach to a broader audience.

The role of IT in Real Estate has become increasingly significant as the industry embraces digital transformation. IT solutions are being leveraged to enhance operational efficiency, improve customer experiences, and provide data-driven insights. For instance, property management software and customer relationship management (CRM) systems are streamlining processes and enabling real estate firms to manage their portfolios more effectively. Additionally, the use of data analytics is helping firms to better understand market trends, customer preferences, and investment opportunities. As technology continues to evolve, the integration of IT in Real Estate is expected to drive further innovation and growth in the sector.

From a regional perspective, the Asia Pacific region is expected to witness substantial growth in the real estate services market. The region's rapid economic development, coupled with increasing urbanization and industrialization, is driving demand for both residential and commercial properties. Countries such as China, India, and Southeast Asian nations are experiencing significant investments in real estate, supported by favorable government policies and a thriving construction sector. North America and Europe are also key players in the market, with steady demand for real estate services driven by economic stability and robust real estate infrastructure.

Service Type Analysis

The real estate services market is broadly segmented into various service types, including property management, brokerage services, real estate investment, valuation services, and others. Property management services are crucial for maintaining and enhancing the value of real estate assets. These services encompass a range of activities such as rent collection, maintenance, tenant management, and compliance with regulations. The demand for p

Comprehensive dataset of 2 Real estate related services in United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset containing 331,575 verified Real estate agent businesses in United States with complete contact information, ratings, reviews, and location data.

The US Office Real Estate Market Report is Segmented by Building Grade (Grade A, Grade B, and More), by Transaction Type (Rental and Sales), by End Use (Information Technology (IT & ITES), BFSI (Banking, Financial Services and Insurance), and More) and by States (Texas, California, Florida and More). The Report Offers Market Size and Forecasts in Value (USD) for all the Above Segments.

The Artificial Intelligence (AI) in Real Estate market is experiencing robust growth, driven by the increasing adoption of AI-powered tools across various stages of the real estate lifecycle. From design and planning to construction, promotion, and sales, AI is revolutionizing efficiency and decision-making. The market's expansion is fueled by several key factors: the rising availability of large datasets suitable for AI training, advancements in machine learning algorithms, and a growing need for enhanced property valuation accuracy and streamlined processes. The integration of AI-powered design software, construction robots, and service robots is significantly impacting the industry, leading to optimized project timelines, reduced costs, and improved customer experiences. While data scarcity initially posed a challenge, the proliferation of smart home technology and sensor data is now fueling the development and application of AI solutions. We project continued strong growth based on the current adoption trends and technological advancements. Segment-wise, the design and planning application segment is expected to dominate, followed by construction and promotion/sales. Within types, design software is currently leading, however, the construction robot segment is projected to exhibit the highest growth rate over the forecast period due to ongoing technological advancements and increasing labor costs. Geographically, North America and Europe are currently the largest markets, but rapid growth is anticipated in the Asia-Pacific region driven by significant infrastructure development and increasing adoption of advanced technologies. Although data privacy and security concerns, and the high initial investment costs associated with AI implementation act as restraints, the long-term benefits of improved efficiency and profitability are overcoming these hurdles, fostering market expansion.